The human voice production system is an intricate biological device capable of modulating
pitch and loudness. Inherent internal and/or external factors often damage the vocal folds …

Signal analysis involves identifying signal behaviour, extracting linear and non-linear
properties, compression or expansion into higher or lower dimensions, and recognizing …

Deep learning has achieved promising results on a broad spectrum of tasks using an end-to-
end approach, and domain-specific knowledge can be used to supplement it by either …

Automatic detection of voice pathology enables objective assessment and earlier
intervention for the diagnosis. This study provides a systematic analysis of glottal source …

This is the first of a two-part series devoted to review the current state of the art of automatic
voice condition analysis systems. The goal of this paper is to provide to the scientific …

This work reviews the advancements in the non-conventional analysis of speech signals,
particularly from an AM-FM analysis point of view. The benefits of such an analysis, as …

Objectives A pathological voice detection and classification method based on MPEG-7
audio low-level features is proposed in this paper. MPEG-7 features are originally used for …

The objective of this study is to evaluate the reliability of acoustic voice parameters obtained
using smart phone (SP) microphones and investigate the utility of use of SP voice recordings …

Objectives The aim of the present study was to validate the Acoustic Voice Quality Index in
Lithuanian language (AVQI-LT) and investigate the feasibility and robustness of its …

With the increasing growth of media cloud technologies, web service technologies, and
smartphones equipped sensors, a number of collaborative media services are being built for …